Results 11 to 20 of about 197,316 (268)
Autonomous Intelligent Systems, 2023 In complex product design, lots of time and resources are consumed to choose a preference-based compromise decision from non-inferior preliminary design models with multi-objective conflicts. However, since complex products involve intensive multi-domain
Zhexin Cui +4 more
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A spatio temporal spectral framework for plant stress phenotyping
Plant Methods, 2019 Background Recent advances in high throughput phenotyping have made it possible to collect large datasets following plant growth and development over time, and those in machine learning have made inferring phenotypic plant traits from such datasets ...
Raghav Khanna +5 more
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An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Autonomous Intelligent Systems, 2022 An industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an ...
Yuxin Liu +3 more
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Fault diagnosis of industrial robot based on dual-module attention convolutional neural network
Autonomous Intelligent Systems, 2022 Fault diagnosis plays a vital role in assessing the health management of industrial robots and improving maintenance schedules. In recent decades, artificial intelligence-based data-driven approaches have made significant progress in machine fault ...
Kaijie Lu +4 more
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A Brief Review of Verbesina crocata (Cav.) Less., a Scantly Studied Medicinal Plant [PDF]
Research Journal of Pharmacognosy, 2023 Although Verbesina crocata (Cav.) Less. is commonly used in Mexico as a medicinal plant to treat numerous disorders (a tradition dating back to pre-Hispanic times), scant scientific evidence exists on its pharmacological activity.
Ivo Heyerdahl-Viau +4 more
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IEEE Access, 2021 The automation of typically intelligent and decision-making processes in the maritime industry leads to fewer accidents and more cost-effective operations.
Maria Ines Pereira +3 more
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Multi-sensor dataset of human activities in a smart home environment
Data in Brief, 2021 Time series data acquired from sensors deployed in smart homes present valuable information for intelligent systems to learn activity patterns of occupants. With the increasing need to enable people to age in place independently, the availability of such
Gibson Chimamiwa +3 more
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Nature CommunicationsReal-time high-resolution wind predictions are beneficial for various applications including safe crewed and uncrewed aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid only at the ...
Florian Achermann +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Enhancing robotic skill acquisition with multimodal sensory data: A novel dataset for kitchen tasks
Scientific DataThe advent of large language models has transformed human-robot interaction by enabling robots to execute tasks via natural language commands. However, these models primarily depend on unimodal data, which limits their ability to integrate diverse and ...
Ruochen Ren +7 more
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